Files
wehub-resource-sync 2860fb5d18
Security / Dependency review (push) Has been skipped
Scorecard / Scorecard analysis (push) Failing after 0s
Validate / eval (push) Failing after 0s
Security / Dependency audit (push) Failing after 1s
Security / Secret scan (push) Failing after 1s
Validate / tests (push) Failing after 0s
Validate / mcp-tests (push) Failing after 1s
GitHub Actions Security Analysis with zizmor 🌈 / zizmor (push) Failing after 1s
Security / SAST scan (push) Failing after 13m52s
chore: import upstream snapshot with attribution
2026-07-13 12:05:33 +08:00

203 lines
7.3 KiB
Python

#!/usr/bin/env python3
"""E2E comparison: run sample queries on both v3 (current branch) and v2.9.5 (main).
Usage:
python3 tests/e2e_comparison.py [--v2-script PATH]
Outputs a markdown comparison table with per-query metrics.
"""
import json
import subprocess
import sys
import time
from pathlib import Path
REPO = Path(__file__).resolve().parents[1]
V3_SCRIPT = str(REPO / "scripts" / "last30days.py")
# v2.9.5 from plugin cache (main branch equivalent)
V2_SCRIPT = str(
Path.home()
/ ".claude/plugins/cache/last30days/last30days/2.9.5/scripts/last30days.py"
)
EVAL_TOPICS_FILE = REPO / "fixtures" / "eval_topics.json"
def _load_queries() -> list[tuple[str, str]]:
if EVAL_TOPICS_FILE.exists():
rows = json.loads(EVAL_TOPICS_FILE.read_text())
return [(row["topic"], row["query_type"]) for row in rows]
return [
("openclaw vs nanoclaw vs ironclaw", "comparison"),
("how to deploy on Fly.io", "how_to"),
("kanye west", "breaking_news"),
("odds of recession", "prediction"),
("explain transformer architecture", "concept"),
]
QUERIES = _load_queries()
def run_query(script: str, topic: str, timeout: int = 180) -> dict:
"""Run a query and return parsed JSON + timing."""
start = time.time()
try:
result = subprocess.run(
[sys.executable, script, topic, "--emit=json", "--json-profile=raw"],
capture_output=True,
text=True,
timeout=timeout,
)
elapsed = time.time() - start
if result.returncode != 0:
return {
"error": result.stderr[:200],
"elapsed": elapsed,
"sources": 0,
"candidates": 0,
"intent": "error",
"subqueries": 0,
}
data = json.loads(result.stdout)
# v3 shape
if "query_plan" in data:
items_by_source = data.get("items_by_source", {})
return {
"elapsed": elapsed,
"sources": sum(1 for v in items_by_source.values() if v),
"total_items": sum(len(v) for v in items_by_source.values()),
"candidates": len(data.get("ranked_candidates", [])),
"clusters": len(data.get("clusters", [])),
"intent": data["query_plan"].get("intent", "?"),
"subqueries": len(data["query_plan"].get("subqueries", [])),
"errors": list(data.get("errors_by_source", {}).keys()),
}
# v2 shape
sources_with_items = 0
total_items = 0
for key in ["reddit", "x", "youtube", "tiktok", "instagram", "hackernews",
"bluesky", "truthsocial", "polymarket", "web"]:
items = data.get(key, [])
if items:
sources_with_items += 1
total_items += len(items)
return {
"elapsed": elapsed,
"sources": sources_with_items,
"total_items": total_items,
"candidates": total_items,
"clusters": 0,
"intent": data.get("mode", "?"),
"subqueries": 0,
"errors": [k for k in ["reddit_error", "x_error", "youtube_error",
"tiktok_error", "instagram_error"]
if data.get(k)],
}
except subprocess.TimeoutExpired:
return {
"error": "timeout",
"elapsed": timeout,
"sources": 0,
"candidates": 0,
"intent": "timeout",
"subqueries": 0,
}
except Exception as exc:
return {
"error": str(exc)[:200],
"elapsed": time.time() - start,
"sources": 0,
"candidates": 0,
"intent": "error",
"subqueries": 0,
}
def main():
v2_script = V2_SCRIPT
if len(sys.argv) > 2 and sys.argv[1] == "--v2-script":
v2_script = sys.argv[2]
if not Path(v2_script).exists():
print(f"v2 script not found at {v2_script}", file=sys.stderr)
print("Use --v2-script PATH to specify", file=sys.stderr)
sys.exit(1)
print("# E2E Comparison: v3.0.0 (branch) vs v2.9.5 (main)")
print()
print(f"- v3 script: {V3_SCRIPT}")
print(f"- v2 script: {v2_script}")
print(f"- Queries: {len(QUERIES)}")
print()
results = []
for i, (topic, expected_intent) in enumerate(QUERIES, 1):
print(f"[{i}/{len(QUERIES)}] {topic}", file=sys.stderr)
sys.stderr.flush()
print(f" v3...", end="", file=sys.stderr)
sys.stderr.flush()
v3 = run_query(V3_SCRIPT, topic)
print(f" {v3.get('elapsed', 0):.1f}s", file=sys.stderr)
sys.stderr.flush()
print(f" v2...", end="", file=sys.stderr)
sys.stderr.flush()
v2 = run_query(v2_script, topic)
print(f" {v2.get('elapsed', 0):.1f}s", file=sys.stderr)
sys.stderr.flush()
results.append({
"topic": topic,
"expected_intent": expected_intent,
"v3": v3,
"v2": v2,
})
# Print comparison table
print("| Query | Intent | v3 sources | v2 sources | v3 items | v2 items | v3 time | v2 time | v3 errors | v2 errors |")
print("|-------|--------|-----------|-----------|---------|---------|---------|---------|-----------|-----------|")
for r in results:
v3, v2 = r["v3"], r["v2"]
v3_err = ", ".join(v3.get("errors", [])) or "-"
v2_err = ", ".join(v2.get("errors", [])) or "-"
print(
f"| {r['topic'][:45]} | {v3.get('intent', '?')} | "
f"{v3.get('sources', 0)} | {v2.get('sources', 0)} | "
f"{v3.get('total_items', 0)} | {v2.get('total_items', 0)} | "
f"{v3.get('elapsed', 0):.1f}s | {v2.get('elapsed', 0):.1f}s | "
f"{v3_err} | {v2_err} |"
)
# Summary
print()
v3_total_sources = sum(r["v3"].get("sources", 0) for r in results)
v2_total_sources = sum(r["v2"].get("sources", 0) for r in results)
v3_total_items = sum(r["v3"].get("total_items", 0) for r in results)
v2_total_items = sum(r["v2"].get("total_items", 0) for r in results)
v3_total_time = sum(r["v3"].get("elapsed", 0) for r in results)
v2_total_time = sum(r["v2"].get("elapsed", 0) for r in results)
v3_errors = sum(len(r["v3"].get("errors", [])) for r in results)
v2_errors = sum(len(r["v2"].get("errors", [])) for r in results)
print("## Summary")
print()
print(f"| Metric | v3.0.0 | v2.9.5 | Delta |")
print(f"|--------|--------|--------|-------|")
print(f"| Total sources with items | {v3_total_sources} | {v2_total_sources} | {v3_total_sources - v2_total_sources:+d} |")
print(f"| Total items retrieved | {v3_total_items} | {v2_total_items} | {v3_total_items - v2_total_items:+d} |")
print(f"| Total wall time | {v3_total_time:.1f}s | {v2_total_time:.1f}s | {v3_total_time - v2_total_time:+.1f}s |")
print(f"| Source errors | {v3_errors} | {v2_errors} | {v3_errors - v2_errors:+d} |")
print(f"| Avg sources/query | {v3_total_sources/len(results):.1f} | {v2_total_sources/len(results):.1f} | |")
print(f"| Avg items/query | {v3_total_items/len(results):.1f} | {v2_total_items/len(results):.1f} | |")
print(f"| Avg time/query | {v3_total_time/len(results):.1f}s | {v2_total_time/len(results):.1f}s | |")
if __name__ == "__main__":
main()